Which type of data view would allow a user to see forecasts for a complete product line?

Selecting a high-level data view is appropriate for visualizing forecasts for a complete product line because it aggregates data across various products, allowing for an overview of performance and trends at a broader level. This type of view enables users to quickly assess how the entire product line is projected to perform, identify patterns, and make strategic decisions based on comprehensive data insights.

High-level data typically consolidates information, providing insights into overall performance without getting bogged down in the details of individual products. This is especially useful for management and stakeholders who need to focus on strategic aspects and portfolio management rather than individual line item forecasts. Such a view facilitates a clearer understanding of the market dynamics affecting the entire product category, supporting better planning and forecasting efforts.